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3rd International Conference on Energy and Electrical Power Systems (ICEEPS)

作者： Zheng, Riping Li, Ye Zhang, Hongyang Lv, Chuanlong Xu, Yuge Guangdong Power Grid Co Ltd Jiangmen Power Supply Bur Jiangmen Peoples R China South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

To tackle the lack of robustness in aerial image matching of transmission towers against illumination and blurring changes, the study proposes an improved akaze-rBRIEF algorithm. Firstly, the improved method adjusts the contrast of aerial images of transmission towers using the Contrast Limited Adaptive Histogram Equalization (CLAHE). Subsequently, the proposed algorithm detects feature points by akaze algorithm and constructs rBRIEF descriptors. Finally, a three-stage matching strategy is utilized to match feature points. detailed, the KNN method is employed for preliminary feature point matching, followed by the Grid-based Motion Statistics (GMS) method to filter out mismatches, and then Random Sampling Consensus (RANSAC) algorithm further refines the matching points and compute the transformation matrix. Experimental results demonstrate that the proposed algorithm achieves superior performance compared to SIFT, SURF, and original akaze algorithms. The proposed method can be used for fast and robust aerial image matching for transmission towers.

关键词： Transmission tower Aerial image Image matching akaze algorithm rBRIEF

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Improved Camshift object tracking algorithm in occluded scenes based on akaze and Kalman

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MULTIMEDIA TOOLS AND APPLICATIONS 2022年第2期81卷 2145-2159页

作者： Pei, Lili Zhang, He Yang, Bo Changan Univ Sch Informat Engn Xian 710064 Shaanxi Peoples R China Xian Xiangteng Microelect Technol Co Ltd Xian 710068 Shaanxi Peoples R China Datang Mobile Commun Equipment Co Ltd Xian Branch Xian 710061 Shaanxi Peoples R China

Camshift algorithm tracking is susceptible to interference when a tracking object is occluded or when its hue is similar to the background. An improved Camshift object-tracking algorithm combining akaze (Accelerated-KAZE) feature matching and Kalman filtering is proposed. First, the video channel is converted for processing. Second, akaze is used to match the object feature points and Kalman filtering is used to predict the next position. Then different scenes are judged by the threshold and the Camshift and Kalman tracking algorithms are used for object tracking, respectively. Finally, the improved Camshift algorithm is used to test the moving object in a variety of situations and compared with the traditional Camshift algorithm and the Kalman filter improved Camshift algorithm. Experimental results show that the improved joint tracking algorithm can continue tracking under full occlusion. The effective frame rate of recognition is increased by about 20%, and the single-frame image processing time is less than 35 ms, which can meet the real-time tracking requirements.

关键词： akaze algorithm Camshift algorithm Feature matching Kalman filtering Object tracking Video processing

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Realtime 3D reconstruction algorithm based on improved akaze and multi-layer feature detection network

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MEASUREMENT SCIENCE AND TECHNOLOGY 2024年第8期35卷 086301-086301页

作者： Pan, Zihao Hou, Junyi Su, Yan Lv, Yong Chen, Zhong Yu, Lei Huaiyin Inst Technol Jiangsu Key Lab Adv Mfg Technol Huaian Peoples R China Soochow Univ Sch Mech & Elect Engn Suzhou Peoples R China

Simultaneous localization and mapping (SLAM) technology aims to solve the problem of how to determine the trajectory of robots by observing the environment and construct sparse spatial models. And the 3D reconstruction technology can further build dense spatial models based on the pose information. This paper proposes a dense 3D reconstruction algorithm based on improved accelerated-KAZE features and a multi-layer feature detection network. A multi-layer feature detection neural network is constructed to replace the bag-of-words model and optimize the loopback results, which improves the effect of pose estimation. The optimized algorithm improves the mapping effect and construct clear and robust indoor complex models. The pose estimation results show that the optimized algorithm improves the accuracy by 30% compared with ORB-SLAM2. Compared with the mapping effect of Kintinuous, ElasticFusion, ORB-SLAM2 and BundleFusion, the optimized models own the advantages of clearer details, richer information and no split layer.

关键词： akaze algorithm multi-layer feature detection network 3D reconstruction RGB-D SLAM

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Optimization Effect of Random Sample Consistency algorithm in Immersive 3D Animation Splicing

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IEEE ACCESS 2024年 12卷 193445-193458页

作者： Duan, Tao Dong, Wei Wang, Fei Yao, Yuxia Jilin Engn Normal Univ Sch Arts & Design Changchun 130000 Peoples R China Jilin Engn Normal Univ Inst Educ & Sci Changchun 130000 Peoples R China Jilin Agr Univ Coll Informat Technol Changchun 130000 Peoples R China

In order to provide viewers with a richer and more realistic visual experience and achieve the secondary utilization of 3D animation resources, an immersive 3D animation production image stitching model is designed based on Accelerated Kernelized-Adaptive-Zone-Extraction and Random Sample Consensus. The results showed that the image registration algorithm achieved the highest recall rate under changes in brightness, rotation angle, and flip angle, with values of 0.942, 0.971, and 0.831, respectively. The highest matching accuracy reached 94.17%. Meanwhile, the algorithm had the shortest execution time, with computation time for different datasets all within 400ms. The matching accuracy performed the best. The image quality processed by the designed image stitching algorithm was relatively high. The Brenner gradient function, Tenengrad gradient function, energy gradient function, and sum of modified differences 2 index simultaneously verified the clarity and detail quality of the image. Meanwhile, the peak signal-to-noise ratio exceeded the other three models, and the feature, multi-scale structure, and information content weighted similarity were all higher than 0.9. The mutual information, normalized mutual information, and normalized cross-correlation of spliced images performed the best. This study introduces new optimization strategies for the field of animation stitching, providing new ideas and methods for theoretical research in the immersive 3D animation field. This research has important practical significance for promoting the widespread application of immersive animation in film, television, gaming, and other fields.

关键词： Animation Three-dimensional displays Image stitching Accuracy Production Solid modeling Libraries Optimization Industries Stereo image processing Image registration image fusion depth image stitching random sampling consistency akaze algorithm

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SRP-akaze: an improved accelerated KAZE algorithm based on sparse random projection

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IET COMPUTER VISION 2020年第4期14卷 131-137页

作者： Li, Dan Xu, Qiannan Yu, Wennian Wang, Bing Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243000 Anhui Peoples R China Queens Univ Dept Mech & Mat Engn Kingston ON K7L 3N6 Canada Anhui Univ Coinnovat Ctr Informat Supply & Assurance Technol Hefei 230601 Anhui Peoples R China Chonqing Univ Coll Mech Engn 174 Shazheng St Chongqing 400030 Peoples R China

The akaze algorithm is a typical image registration algorithm that has the advantage of high computational efficiency based on non-linear diffusion. However, it is weaker than the scale-invariant feature transformation (SIFT) algorithm in terms of robustness and stability. We propose a new and improved version of the akaze algorithm by using the SIFT descriptor based on sparse random projection (SRP). The proposed method not only retains the advantage of high efficiency of the akaze algorithm in feature detection but also has the stability of the SIFT descriptor. Moreover, the computational complexity due to the high dimension of the SIFT descriptor, which limits the speed of feature matching, is drastically reduced by the SRP strategy. Experiments on several benchmark image datasets demonstrate that the proposed algorithm can significantly improve the stability of the akaze algorithm, and the results suggest the better matching performance and robustness of the feature descriptor.

关键词： image resolution nonlinear filters image matching VLSI feature extraction pipeline processing transforms image registration SRP-akaze improved accelerated KAZE algorithm sparse random projection typical image registration algorithm high computational efficiency nonlinear diffusion scale-invariant feature transformation algorithm new version akaze algorithm SIFT descriptor feature descriptor

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Improved image matching algorithm based on LK optical flow and grid motion statistics

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INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY 2022年第1期68卷 49-57页

作者： Liu, Qunpo Xi, Xiulei Zhang, Weicun Yang, Lingxiao Hanajima, Naohiko Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo Henan Peoples R China Henan Int Joint Lab Direct Dr & Control Intellige Jiaozuo Henan Peoples R China Univ Sci & Technol Beijing Sch Automat Beijing Peoples R China Muroran Inst Technol Coll Informat & Syst Muroran Hokkaido Japan

In order to solve the problems of low accuracy and long time-consuming of akaze algorithm in the image matching of glass encapsulated electrical connectors, an improved image matching algorithm based on LK optical flow and grid motion statistics is proposed. Matching points are obtained by calculating the matching area which are made up of the feature points for conditional constraints. In the local feature matching algorithm, large amount of calculation is an urgent problem as a result of sparse neighbourhood consistency feature cannot define adjacent areas well. The false matching points are removed by improved grid motion statistics algorithm based on integrates FLANN algorithm, and then match computation time is reduced. The performance is verified by experiments based on the Mikolajczyk and actual scene data. Experiment results show that the proposed algorithm can handle the actual scene data, the CMR reaches over 93%, and the time is within 0.4s.

关键词： positioning glass-encapsulated electrical connector akaze algorithm LK optical flow feature matching grid motion statistics

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Research on UAV Image Mosaic Based on Improved akaze Feature and VFC algorithm

Research on UAV Image Mosaic Based on Improved AKAZE Feature...

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作者： Qianqian Yan Qian-wen Li Tongkang Zhang Xi'an University of Science and Technology

Aiming at the problem of low matching efficiency of traditional akaze algorithm,an improved algorithm is proposed that combines akaze and FREAK ***,akaze is used to extract feature points to ensure the accuracy of feature detection,and then the FREAK operator is used to calculate the descriptor,and then the VFC algorithm is used to perform accurate matching to improve the matching efficiency,and finally the weighted fusion algorithm is used to fuse the *** research results show that compared with the traditional SIFT,the improved akaze algorithm improves the feature extraction time by about 1.11 s,and the improved akaze algorithm in terms of computing descriptor efficiency increases the time by 1.32 s than the SIFT and akaze algorithms,which can get higher The accuracy and matching results of the UAV realize rapid and seamless splicing of UAV images.

关键词： Image matching image stitching akaze algorithm FREAK algorithm VFC algorithm

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Research on 3D architectural scenes construction technology based on augmented reality

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2021年第2期21卷 311-327页

作者： Zhang, Xiang Yao, Jiangtao Dong, Lili Ye, Na Xian Univ Architecture & Technol Sch Informat & Control Engn Xian Shaanxi Peoples R China

This paper presents a framework of architecture scene based on augmented reality, which can help designers to analyze and evaluate the design scheme at the early stage of architecture design. First, we used Revit to construct the 3D architectural model, and then we extracted the scene feature points with akaze algorithm, and applied the visual vocabulary tree to identify the architectural scene. Finally, the monocular SLAM technology was used to register the virtual 3D building model of the real outdoor scene, and the architecture scene construction system based on augmented reality was implemented. The experimental results show that the proposed framework has the characteristics of a real immersion and easy spread and can help designers to make a more reasonable evaluation of the architectural design scheme.

关键词： Augmented reality Revit akaze algorithm vocabulary tree monocular SLAM

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